Awesome, thanks a bunch I will try it out. Just out of curiosity what
preprocessing would you recommend to clean up the signal (filtering,
interpolation, downsampling)?
Cheers
Amrit

On Tue, Jul 26, 2016 at 1:50 PM, Glasser, Matthew <glass...@wustl.edu>
wrote:

> There is a wb_command function that does this, wb_command
> -cifti-smoothing.  We don’t recommend smoothing as a general preprocessing
> practice however.
>
> Peace,
>
> Matt.
>
> From: Amrit Kashyap <amrit...@gmail.com>
> Date: Tuesday, July 26, 2016 at 12:47 PM
> To: "Elam, Jennifer" <e...@wustl.edu>
> Cc: Matt Glasser <glass...@wustl.edu>, "hcp-users@humanconnectome.org" <
> hcp-users@humanconnectome.org>
>
> Subject: Re: [HCP-Users] Workbench Tutorial Data
>
> Okay, I will use the regular data then and try to process it so that my
> algorithm runs on it. Do you guys know by any chance a good way to project
> the surface data contained in the cifti-files into a flat 2D map given in
> the flat gifti files? (I am trying to get the cifti data into a 2D matrix
> so I can convolve with a Gaussian kernel).
>
> On Tue, Jul 26, 2016 at 12:46 PM, Elam, Jennifer <e...@wustl.edu> wrote:
>
>> Hi Amrit,
>>
>> The data in Scene 4 of the WB Tutorial data is almost 5 years old now,
>> CP10101 is a subject from the pilot phase of the HCP, well before we were
>> releasing data and well before we were cleaning the data with FIX. The
>> reason that scene is there is simply to display the concept of BOLD
>> fluctuations in an fMRI time series-- it is not the really meant to be data
>> that you use any analysis tools on since we have since released several
>> improved versions of the fMRI data on now over 800 subjects.
>>
>>
>> The Group Average Workbench dataset available in ConnectomeDB
>> <https://db.humanconnectome.org/data/projects/HCP_900> is up to date
>> with data from the current 900 Subjects Release (of December 2015)
>>
>>
>> Yes, there is extensive documentation on the many individual subject and
>> group average analyzed data currently available for download in
>> ConnectomeDB in the 900 Subjects Reference Manual
>> <https://www.humanconnectome.org/documentation/S900/HCP_S900_Release_Reference_Manual.pdf>
>> (you can also get to it in the Documentation section of the HCP public
>> website) and more info in the publication references therein. It's a long
>> document, but there's a lot of valuable information there.
>>
>>
>> Best,
>>
>> Jenn
>>
>>
>> Jennifer Elam, Ph.D.
>> Scientific Outreach, Human Connectome Project
>> Washington University School of Medicine
>> Department of Neuroscience, Box 8108
>> 660 South Euclid Avenue
>> St. Louis, MO 63110
>> 314-362-9387
>> e...@wustl.edu
>> www.humanconnectome.org
>>
>> ------------------------------
>> *From:*hcp-users-boun...@humanconnectome.org <
>> hcp-users-boun...@humanconnectome.org> on behalf of Amrit Kashyap <
>> amrit...@gmail.com>
>> *Sent:* Tuesday, July 26, 2016 11:34:48 AM
>> *To:* Glasser, Matthew
>> *Cc:* hcp-users@humanconnectome.org
>> *Subject:* Re: [HCP-Users] Workbench Tutorial Data
>>
>> Yes, I am using that because I thought that was the most processed data
>> available. I think someone might have spatially smoothed this raw signal
>> and then added it to the tutorial data?
>>
>>
>> On Tue, Jul 26, 2016 at 11:08 AM, Glasser, Matthew <glass...@wustl.edu>
>> wrote:
>>
>>> Are you using the FIX cleaned HCP data?  It will have _hp2000_clean in
>>> the file name.
>>>
>>> Peace,
>>>
>>> Matt.
>>>
>>> From: <hcp-users-boun...@humanconnectome.org> on behalf of Amrit
>>> Kashyap <amrit...@gmail.com>
>>> Date: Tuesday, July 26, 2016 at 9:52 AM
>>> To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
>>> Subject: [HCP-Users] Workbench Tutorial Data
>>>
>>> Hey HCP, this might not be the correct place to post this, but I have
>>> been using the rsfMRI data provided by the HCP workbench tutorial in scene
>>> 4 (CP10101). It looks like there has been some preprocessing done to the
>>> rsfMRI dtseries but I am not sure what it is. My own analysis techniques
>>> seem to work pretty well on this processed data but perform pretty poorly
>>> on the raw data. Is there any documentation/paper you could direct me to?
>>> Thanks
>>> Amrit
>>>
>>> _______________________________________________
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>>> HCP-Users@humanconnectome.org
>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>
>>>
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>>
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>
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> The materials in this message are private and may contain Protected
> Healthcare Information or other information of a sensitive nature. If you
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